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"""
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(c) 2019 Data Maker, hiplab.mc.vanderbilt.edu
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version 1.0.0
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This package serves as a proxy to the overall usage of the framework.
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This package is designed to generate synthetic data from a dataset from an original dataset using deep learning techniques
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@TODO:
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- Make configurable GPU, EPOCHS
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"""
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import pandas as pd
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import numpy as np
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self._df = _args['data'] if 'data' in _args else None
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# self.lock.release()
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#
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self.network_args['candidates'] = int(_args['candidates']) if 'candidates' in _args else 1
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filename = os.sep.join([self.network_args['logs'],'output',self.network_args['context'],'map.json'])
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self.post(_candidates)
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def format(self,_df,_schema):
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self.post([self._df])
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